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Mastering Structural Equation Modeling with Amos: From Fundamentals to Advanced Techniques

G N Satish Kumar

16 modules

English

Lifetime access

Unveiling the Power of Structural Equation Modeling with SPSS Amos

Overview

This online course provides a comprehensive learning experience in Structural Equation Modeling (SEM) using SPSS Amos. Designed for beginners and individuals with prior SEM knowledge, this course covers a wide range of topics from the basics to advanced techniques.

Topics covered include:

  • Introduction to SEM
  • Amos Graphics
  • Structural Equation Modeling using Amos Software
  • Model identification
  • Confirmatory Factor Analysis (CFA)
  • Measurement of model fit
  • Modification indices
  • Second-Order CFA models
  • Reliability and validity testing
  • Multi-group analysis
  • Multiple model analysis
  • Mediation analysis
  • Moderation analysis
  • Moderated Mediation
  • Parallel Mediation
  • Serial Mediation

The course is taught by experienced SEM researchers and practitioners who will provide you with the knowledge and skills you need to master SEM using Amos.

Enroll today and start learning SEM!

Additional benefits:

  • The course is delivered in an online format, so you can learn at your own pace from anywhere in the world.
  • The course includes video lectures, and practice datasets.
  • You will have access to a live webinar where you can ask questions and get help from the instructor and other researchers.

By the end of the course, participants will have a strong command of SEM principles and the ability to apply advanced techniques in SPSS Amos, allowing them to confidently analyze data and draw meaningful conclusions.

So, Equip yourself with the expertise to harness the power of Structural Equation Modeling and SPSS Amos, and gain the confidence to unlock valuable insights from your data with this comprehensive online course.

 

Key Highlights

Learn the fundamentals of Structural Equation Modeling (SEM)

Discover how to use AMOS software to perform SEM analysis

Understand advanced techniques for model estimation, modification and interpretation

Explore measurement models and latent variable modeling

Gain practical experience through hands-on exercises and real-world examples

What you will learn

Understanding the fundamentals of Structural Equation Modeling (SEM)

Learn the basic concepts, principles, and components of SEM.

Exploring the features and functionality of Amos software

Become familiar with the Amos software and its capabilities in conducting SEM analysis.

Preparing data for SEM analysis

Learn how to clean, organize, and prepare data for effective SEM analysis in Amos.

Defining the theoretical framework and model specification

Understand how to develop a theoretical framework and specify a comprehensive SEM model.

Performing confirmatory factor analysis (CFA)

Learn how to conduct CFA to validate measurement models in SEM using Amos.

Analyzing structural relationships in SEM

Explore advanced techniques for analyzing structural relationships among variables in SEM using Amos.

Testing model fit and evaluating model validity

Learn how to assess model fit and validity using various statistical techniques within Amos.

Interpreting and reporting SEM results

Gain insights into interpreting and effectively communicating SEM results for research publications or professional reports.

Modules

1. Introduction to Structural Equation Modeling and AMOS

1 attachment • 7.89 mins

Part 1. Introduction to Structural Equation Modeling and SPSS Amos

2. Understanding the graphical Interface of Amos

3 attachments • 11.02 mins

Part 2. Understanding graphical interface of Amos

Ex1

Sales

3. Structural Equation Modelling using Amos Software - Covariance & Estimation calculations

3 attachments • 36.18 mins

Part 3. Structural Equation Modelling using Amos Software - Covariance & Estimation calculations:

Sales

Ex1

4. Structural Equation Model Identification

3 attachments • 12.67 mins

Part 4. Structural Equation Model Identification:

Ex1

Sales

5. Confirmatory Factor Analysis

3 attachments • 16.74 mins

Part 5. Confirmatory Factor Analysis:

CFA

TAM Data Set

6. Measurement of the goodness of model fit

3 attachments • 8.82 mins

Part 6. Measurement of the goodness of model fit:

TAM

TAM Data Set

7. Modification Indices

3 attachments • 15.7 mins

Part 7. Modification Indices

TAM

TAM Data Set

8. Second-Order CFA Models

3 attachments • 16.97 mins

Part 8. Second-Order CFA Models

Second Order Factor Analysis

Service Quality Data Set

9. Reliability and Validity test

8 attachments • 32.83 mins

Part 9. Reliability and Validity test

Composite Reliability Calculation

Validity Calculation

Common Method Bias

Second Order Factor Analysis

Reliability test CFA

Validity test CFA

Customer Satisfaction

10. Multi-group Analysis - Critical Ratio for difference between groups

3 attachments • 18.88 mins

Part 10. Multi-group Analysis - Critical Ratio for difference between groups:

Multiple Group Analysis

TAM Data Set

11. Multiple Model Analysis

3 attachments • 10.28 mins

Part 11. Multiple Model Analysis:

TAM Data Set

Multiple Model Analysis

12. Mediation Analysis

3 attachments • 30.77 mins

Part 12. Mediation Analysis:

Mediation Analysis

Organizational Support Data Set

13. Moderation Analysis

3 attachments • 9.35 mins

Part 13. Moderation Analysis:

Mediation Analysis

Moderation Data Set

14. Mediated Moderation Analysis

3 attachments • 17.99 mins

Part 14. Mediated Moderation Analysis:

Moderated Mediation model

Moderated Mediation Data Set

15. Serial Mediation Analysis

3 attachments • 12.79 mins

Part 15. Serial Mediation Analysis:

Serial Mediation Analysis

Serial Mediation Data Set

16. Mediation Moderation Analysis

3 attachments

Mediated Moderation Model

Mediated Moderation Data Set

Specific Indirect effect

About the creator

About the creator

G N Satish Kumar

G.N. Satish Kumar is a highly accomplished academician and a skilled statistical data analyst with an impressive career spanning two decades. With an unwavering passion for education and data analysis, Satish Kumar has made significant contributions to the field, garnering a reputation as an expert in his domain. With a solid foundation in academia, Satish Kumar has dedicated the past 20 years to imparting knowledge and shaping the minds of aspiring students. 

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